Explore developer tools for workspace interaction: Review
Named reviewer score4.1/ 5
Teaching4.0
Hands-on3.0
Freshness4.5
Value4.8
Career fit3.5
Reviewed by Sofia R. · CS student and self-directed learner
Provider:Microsoft LearnFormat: Self-paced module with text, screenshots, and an interactive lab.Time: Under an hour.Price:The module is free on Microsoft Learn. No separate certificate offered. — Check current pricing on the official site.
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A solid 25-minute product tour of Azure ML's interfaces, masquerading as a one-hour course. It's a useful orientation map before you tackle a real tutorial.
Decision summary
4.1/5 Last verified: August 31, 2026
Best for
Absolute beginners needing a quick tour of the Azure ML interface.
Watch for
The 'exercise' is just a guided click-through, not a real problem to solve.
Teaching4.0
Hands-on3.0
Freshness4.5
Value4.8
Career fit3.5
Who it's for
Absolute beginners needing a quick tour of the Azure ML interface.
Who should skip it
Anyone looking to build or code a real project.
Pros
Quick, clear overview of the three main ways to interact with an Azure ML workspace.
Uses the latest v2 of the SDK and CLI.
Interactive lab environment is provided, no local setup needed.
Cons
The 'exercise' is just a guided click-through, not a real problem to solve.
Covers a lot of ground very superficially.
The knowledge check is extremely basic.
The guided exercise just has you copy-pasting commands. In the Python SDK section, you get a notebook, but the only goal is to run pre-written cells to see that it connects. Don’t expect to write any code. This whole thing is a visual dictionary for the Azure ML workspace: here's the button in the Studio, here's the equivalent `az ml` command, here's the `ml_client` object. It’s useful for exactly that—getting your bearings before you start a real project or a more involved tutorial that assumes you know your way around. I was hoping for a tiny bit more of a challenge in the lab, maybe a small data file to actually register. Instead, you just verify things exist. It’s a good first 30 minutes in the ecosystem, but plan on immediately moving to another module.
Last verified: August 31, 2026. We re-check course details periodically — see our methodology. Pricing and availability can change; always confirm on the official site.
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